J-1 Visa QA Analyst Jobs
QA Analyst roles in the United States are accessible to international professionals through J-1 visa sponsorship, typically under the Trainee or Intern program category. Designated sponsors issue your DS-2019 and oversee your training plan, while your U.S. host employer guides your day-to-day work in software testing, quality assurance processes, and defect management.
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Get Access To All Jobs<p><strong>AI Engineering Intern</strong></p>
<p><em><strong>Please note, this is a full-time internship running though Summer 2026 (June-August)</strong></em></p>
<p><strong>Location: </strong>Austin, TX (In-office Tues/Wed/Thurs)</p>
<p><strong>Eligibility:</strong> Must be currently enrolled at The University of Texas at Austin</p>
<p><strong>Duration:</strong> Summer 2026</p>
<p><strong>Schedule:</strong> Full-time, 40 hrs/week</p>
<p><strong>About Togetherwork </strong>Togetherwork is building the operating platform for member-based organizations across associations, nonprofits, camps, wellness, and faith-based institutions. As we scale through acquisition, we are redesigning how operations work — using AI and automation as core infrastructure. Our approach is simple: AI handles high-volume, repeatable work so our teams can focus on complex, high-value problems.</p>
<p> </p>
<p data-start="72" data-end="276"><strong data-start="72" data-end="89">Role Overview</strong><br data-start="89" data-end="92">We are hiring 3 high-caliber interns from UT Austin to help build and deploy AI and automation across our operations.<br data-start="209" data-end="212">This is a hands-on builder role — not research, not shadowing.</p>
<p data-start="278" data-end="520">You will work directly on:<br data-start="304" data-end="307">• AI-powered customer support systems<br data-start="344" data-end="347">• Automation of complex software implementations<br data-start="395" data-end="398">• Internal tooling across PSA, PMO, and managed services<br data-start="454" data-end="457">• LLM integrations (Claude + enterprise systems like Zendesk)</p>
<p data-start="522" data-end="586">Your work will ship into production and impact real customers.</p>
<hr data-start="588" data-end="591">
<p data-start="593" data-end="1734"><strong data-start="593" data-end="611">What You'll Do</strong><br data-start="611" data-end="614">• Leverage Togetherwork's existing enterprise AI platforms — Claude Enterprise and ChatGPT Enterprise — to design and deploy practical solutions for operational use cases<br data-start="784" data-end="787">• Assist with prompt engineering, custom GPT or Claude project configuration, and AI tool optimization tailored to Operations team needs<br data-start="923" data-end="926">• Partner with Operations team members to audit and map current workflows, identifying high-impact opportunities for automation and AI assistance<br data-start="1071" data-end="1074">• Build and test automated workflows that eliminate repetitive manual tasks across operational functions including onboarding, reporting, data entry, vendor management, and internal communications<br data-start="1270" data-end="1273">• Support the evaluation of additional AI tools and platforms that could complement or extend the current enterprise stack<br data-start="1395" data-end="1398">• Help create and maintain documentation for all automation builds, including workflow logic, tool configurations, and process change notes<br data-start="1537" data-end="1540">• Present findings and project updates to Operations stakeholders in clear, accessible language<br data-start="1635" data-end="1638">• Participate in team standups, project planning sessions, and cross-functional working groups</p>
<hr data-start="1736" data-end="1739">
<p data-start="1741" data-end="1764"><strong data-start="1741" data-end="1764">What You’ll Work On</strong></p>
<p data-start="1766" data-end="2045"><strong><em data-start="1766" data-end="1797">Customer Support (AI Systems)</em></strong><br data-start="1797" data-end="1800">• Connect Claude to Zendesk to auto-answer tickets and reduce backlog<br data-start="1869" data-end="1872">• Build AI ticket triage & routing, auto-response systems, and sentiment detection workflows<br data-start="1964" data-end="1967">• Develop AI-powered help centers that dynamically surface the right content</p>
<p data-start="2047" data-end="2358"><strong><em data-start="2047" data-end="2098">Professional Services (Implementation Automation)</em></strong><br data-start="2098" data-end="2101">• Analyze onboarding workflows (especially complex products like Associations)<br data-start="2179" data-end="2182">• Build AI-driven implementation workflows<br data-start="2224" data-end="2227">• Automate data migrations, configurations, and documentation generation<br data-start="2299" data-end="2302">• Integrate AI into PSA / PMO tools (e.g., Monday.com)</p>
<p data-start="2360" data-end="2592"><strong><em data-start="2360" data-end="2406">Managed Services (Automation & Intelligence)</em></strong><br data-start="2406" data-end="2409">• Reduce repeated payroll processing work<br data-start="2450" data-end="2453">• Build automation for billing, tax, donations, and workflows<br data-start="2514" data-end="2517">• Build integration between Claude & Monday.com for billing and workflows</p>
<p data-start="2594" data-end="2760"><strong><em data-start="2594" data-end="2629">Knowledge & Documentation Systems</em></strong><br data-start="2629" data-end="2632">• Build AI-powered help centers from documentation and tickets<br data-start="2694" data-end="2697">• Auto-generate help articles and identify documentation gaps</p>
<hr data-start="2762" data-end="2765">
<p data-start="2767" data-end="3546"><strong data-start="2767" data-end="2795">What You’ll Learn & Gain</strong><br data-start="2795" data-end="2798">• Direct, hands-on experience solving real operational challenges inside a high-growth, PE-backed SaaS organization<br data-start="2913" data-end="2916">• Daily use of and training on enterprise-grade AI platforms including Claude Enterprise and ChatGPT Enterprise<br data-start="3027" data-end="3030">• Broad exposure to how AI and automation are being deployed across a 25+ brand software portfolio<br data-start="3128" data-end="3131">• A tangible, results-driven portfolio project you can speak to confidently in future interviews<br data-start="3227" data-end="3230">• Deploying LLMs in production environments<br data-start="3273" data-end="3276">• Integrating AI into enterprise systems (Zendesk, CRM, PM tools)<br data-start="3341" data-end="3344">• Designing automation across a large-scale operations division<br data-start="3407" data-end="3410">• Driving measurable customer outcomes (efficiency, CSAT, cost reduction)<br data-start="3483" data-end="3486">• An opportunity for full-time employment after the summer</p>
<hr data-start="3548" data-end="3551">
<p data-start="3553" data-end="3571"><strong data-start="3553" data-end="3571">Qualifications</strong></p>
<p data-start="3573" data-end="4106"><strong><em data-start="3573" data-end="3583">Required</em></strong><br data-start="3583" data-end="3586">• Currently enrolled at UT Austin as a junior/senior or graduate student in Computer Science (CS), Software Engineering, Data Science/Data Analytics, AI, or relevant field<br data-start="3757" data-end="3760">• Hands-on experience with Claude (Anthropic) including enterprise features such as custom instructions, projects, skills, and knowledge management<br data-start="3907" data-end="3910">• Understanding of prompt engineering best practices and how to apply LLMs to business process improvement<br data-start="4016" data-end="4019">• Familiarity with Python for basic scripting, API integrations, or data manipulation</p>
<p data-start="4108" data-end="4565"><strong><em data-start="4108" data-end="4119">Preferred</em></strong><br data-start="4119" data-end="4122">• Student in the Machine Learning and Artificial Intelligence Concentration program of study<br data-start="4214" data-end="4217">• Familiarity with Zendesk or PM tools<br data-start="4255" data-end="4258">• Experience using the Anthropic Claude API or OpenAI API for custom integrations or workflow automation<br data-start="4362" data-end="4365">• Exposure to workflow automation platforms such as Zapier, Make, or Power Automate<br data-start="4448" data-end="4451">• Familiarity with REST APIs, webhooks, or data pipeline concepts<br data-start="4516" data-end="4519">• Experience with no-code/low-code platforms</p>
<hr data-start="4567" data-end="4570">
<p data-start="4572" data-end="5066"><strong data-start="4572" data-end="4606">What Makes This Role Different</strong><br data-start="4606" data-end="4609">• You will build real systems used by real teams<br data-start="4657" data-end="4660">• Your work will directly impact support backlog and efficiency<br data-start="4723" data-end="4726">• You’ll work across multiple functions<br data-start="4765" data-end="4768">• You’ll help build the AI layer of a multi-product SaaS company<br data-start="4832" data-end="4835">• Day-to-day mentorship from members of the Togetherwork executive team, including the Senior VP of Operations and VP of CX Strategy<br data-start="4967" data-end="4970">• Access to the Chief Technology Officer who will meet with you monthly during your internship</p>
<hr data-start="5068" data-end="5071">
<p data-start="5073" data-end="5268"><strong data-start="5073" data-end="5095">Success Looks Like</strong><br data-start="5095" data-end="5098">• Deployed AI workflows into Zendesk<br data-start="5134" data-end="5137">• Automated onboarding processes<br data-start="5169" data-end="5172">• Reduced support backlog or resolution time<br data-start="5216" data-end="5219">• Built internal tools used by Operations teams</p>
<p><strong>Inclusion and Diversity:</strong> Togetherwork is an Equal Employment Opportunity Employer. We are a company where diverse backgrounds, experiences and viewpoints are valued. Togetherwork does not make hiring or employment decisions on the basis of race, color, religion, gender, gender identity, sex, sexual orientation, disability, veteran status, age, ethnic or national origin, or any other basis protected by all local, state or federal laws.</p>
<p>Togetherwork provides integrated software and financial solutions to a wide range of communities and organizations including associations, camps, unions, fraternities & sororities, gyms, dance studios, religious congregations, pet services, and more.</p>
<p>Our mission-critical tools help our customers manage and grow their communities, and enhance the depth and breadth of their member engagement. Our team is united in its desire to help our clients better serve and empower their communities.</p>
<p><strong>Interview Process & Expectations</strong><br>Our interviews are designed to be interactive and conversational. Candidates are expected to respond based on their own experience and thinking during live interviews.</p>
<p>To ensure a fair and consistent interview experience, the use of real-time AI tools or other external assistance to generate or guide interview responses is not permitted. Interviews are intended to reflect an individual’s judgment, problem-solving approach, and communication.</p>
<p> </p>
<p> </p>
<p> </p><div class="content-conclusion"><p>CCPA Disclosure Notice: <a href="https://www.togetherwork.com/privacy-policy/">Click Here</a></p></div>
<p><strong>AI Engineering Intern</strong></p>
<p><em><strong>Please note, this is a full-time internship running though Summer 2026 (June-August)</strong></em></p>
<p><strong>Location: </strong>Austin, TX (In-office Tues/Wed/Thurs)</p>
<p><strong>Eligibility:</strong> Must be currently enrolled at The University of Texas at Austin</p>
<p><strong>Duration:</strong> Summer 2026</p>
<p><strong>Schedule:</strong> Full-time, 40 hrs/week</p>
<p><strong>About Togetherwork </strong>Togetherwork is building the operating platform for member-based organizations across associations, nonprofits, camps, wellness, and faith-based institutions. As we scale through acquisition, we are redesigning how operations work — using AI and automation as core infrastructure. Our approach is simple: AI handles high-volume, repeatable work so our teams can focus on complex, high-value problems.</p>
<p> </p>
<p data-start="72" data-end="276"><strong data-start="72" data-end="89">Role Overview</strong><br data-start="89" data-end="92">We are hiring 3 high-caliber interns from UT Austin to help build and deploy AI and automation across our operations.<br data-start="209" data-end="212">This is a hands-on builder role — not research, not shadowing.</p>
<p data-start="278" data-end="520">You will work directly on:<br data-start="304" data-end="307">• AI-powered customer support systems<br data-start="344" data-end="347">• Automation of complex software implementations<br data-start="395" data-end="398">• Internal tooling across PSA, PMO, and managed services<br data-start="454" data-end="457">• LLM integrations (Claude + enterprise systems like Zendesk)</p>
<p data-start="522" data-end="586">Your work will ship into production and impact real customers.</p>
<hr data-start="588" data-end="591">
<p data-start="593" data-end="1734"><strong data-start="593" data-end="611">What You'll Do</strong><br data-start="611" data-end="614">• Leverage Togetherwork's existing enterprise AI platforms — Claude Enterprise and ChatGPT Enterprise — to design and deploy practical solutions for operational use cases<br data-start="784" data-end="787">• Assist with prompt engineering, custom GPT or Claude project configuration, and AI tool optimization tailored to Operations team needs<br data-start="923" data-end="926">• Partner with Operations team members to audit and map current workflows, identifying high-impact opportunities for automation and AI assistance<br data-start="1071" data-end="1074">• Build and test automated workflows that eliminate repetitive manual tasks across operational functions including onboarding, reporting, data entry, vendor management, and internal communications<br data-start="1270" data-end="1273">• Support the evaluation of additional AI tools and platforms that could complement or extend the current enterprise stack<br data-start="1395" data-end="1398">• Help create and maintain documentation for all automation builds, including workflow logic, tool configurations, and process change notes<br data-start="1537" data-end="1540">• Present findings and project updates to Operations stakeholders in clear, accessible language<br data-start="1635" data-end="1638">• Participate in team standups, project planning sessions, and cross-functional working groups</p>
<hr data-start="1736" data-end="1739">
<p data-start="1741" data-end="1764"><strong data-start="1741" data-end="1764">What You’ll Work On</strong></p>
<p data-start="1766" data-end="2045"><strong><em data-start="1766" data-end="1797">Customer Support (AI Systems)</em></strong><br data-start="1797" data-end="1800">• Connect Claude to Zendesk to auto-answer tickets and reduce backlog<br data-start="1869" data-end="1872">• Build AI ticket triage & routing, auto-response systems, and sentiment detection workflows<br data-start="1964" data-end="1967">• Develop AI-powered help centers that dynamically surface the right content</p>
<p data-start="2047" data-end="2358"><strong><em data-start="2047" data-end="2098">Professional Services (Implementation Automation)</em></strong><br data-start="2098" data-end="2101">• Analyze onboarding workflows (especially complex products like Associations)<br data-start="2179" data-end="2182">• Build AI-driven implementation workflows<br data-start="2224" data-end="2227">• Automate data migrations, configurations, and documentation generation<br data-start="2299" data-end="2302">• Integrate AI into PSA / PMO tools (e.g., Monday.com)</p>
<p data-start="2360" data-end="2592"><strong><em data-start="2360" data-end="2406">Managed Services (Automation & Intelligence)</em></strong><br data-start="2406" data-end="2409">• Reduce repeated payroll processing work<br data-start="2450" data-end="2453">• Build automation for billing, tax, donations, and workflows<br data-start="2514" data-end="2517">• Build integration between Claude & Monday.com for billing and workflows</p>
<p data-start="2594" data-end="2760"><strong><em data-start="2594" data-end="2629">Knowledge & Documentation Systems</em></strong><br data-start="2629" data-end="2632">• Build AI-powered help centers from documentation and tickets<br data-start="2694" data-end="2697">• Auto-generate help articles and identify documentation gaps</p>
<hr data-start="2762" data-end="2765">
<p data-start="2767" data-end="3546"><strong data-start="2767" data-end="2795">What You’ll Learn & Gain</strong><br data-start="2795" data-end="2798">• Direct, hands-on experience solving real operational challenges inside a high-growth, PE-backed SaaS organization<br data-start="2913" data-end="2916">• Daily use of and training on enterprise-grade AI platforms including Claude Enterprise and ChatGPT Enterprise<br data-start="3027" data-end="3030">• Broad exposure to how AI and automation are being deployed across a 25+ brand software portfolio<br data-start="3128" data-end="3131">• A tangible, results-driven portfolio project you can speak to confidently in future interviews<br data-start="3227" data-end="3230">• Deploying LLMs in production environments<br data-start="3273" data-end="3276">• Integrating AI into enterprise systems (Zendesk, CRM, PM tools)<br data-start="3341" data-end="3344">• Designing automation across a large-scale operations division<br data-start="3407" data-end="3410">• Driving measurable customer outcomes (efficiency, CSAT, cost reduction)<br data-start="3483" data-end="3486">• An opportunity for full-time employment after the summer</p>
<hr data-start="3548" data-end="3551">
<p data-start="3553" data-end="3571"><strong data-start="3553" data-end="3571">Qualifications</strong></p>
<p data-start="3573" data-end="4106"><strong><em data-start="3573" data-end="3583">Required</em></strong><br data-start="3583" data-end="3586">• Currently enrolled at UT Austin as a junior/senior or graduate student in Computer Science (CS), Software Engineering, Data Science/Data Analytics, AI, or relevant field<br data-start="3757" data-end="3760">• Hands-on experience with Claude (Anthropic) including enterprise features such as custom instructions, projects, skills, and knowledge management<br data-start="3907" data-end="3910">• Understanding of prompt engineering best practices and how to apply LLMs to business process improvement<br data-start="4016" data-end="4019">• Familiarity with Python for basic scripting, API integrations, or data manipulation</p>
<p data-start="4108" data-end="4565"><strong><em data-start="4108" data-end="4119">Preferred</em></strong><br data-start="4119" data-end="4122">• Student in the Machine Learning and Artificial Intelligence Concentration program of study<br data-start="4214" data-end="4217">• Familiarity with Zendesk or PM tools<br data-start="4255" data-end="4258">• Experience using the Anthropic Claude API or OpenAI API for custom integrations or workflow automation<br data-start="4362" data-end="4365">• Exposure to workflow automation platforms such as Zapier, Make, or Power Automate<br data-start="4448" data-end="4451">• Familiarity with REST APIs, webhooks, or data pipeline concepts<br data-start="4516" data-end="4519">• Experience with no-code/low-code platforms</p>
<hr data-start="4567" data-end="4570">
<p data-start="4572" data-end="5066"><strong data-start="4572" data-end="4606">What Makes This Role Different</strong><br data-start="4606" data-end="4609">• You will build real systems used by real teams<br data-start="4657" data-end="4660">• Your work will directly impact support backlog and efficiency<br data-start="4723" data-end="4726">• You’ll work across multiple functions<br data-start="4765" data-end="4768">• You’ll help build the AI layer of a multi-product SaaS company<br data-start="4832" data-end="4835">• Day-to-day mentorship from members of the Togetherwork executive team, including the Senior VP of Operations and VP of CX Strategy<br data-start="4967" data-end="4970">• Access to the Chief Technology Officer who will meet with you monthly during your internship</p>
<hr data-start="5068" data-end="5071">
<p data-start="5073" data-end="5268"><strong data-start="5073" data-end="5095">Success Looks Like</strong><br data-start="5095" data-end="5098">• Deployed AI workflows into Zendesk<br data-start="5134" data-end="5137">• Automated onboarding processes<br data-start="5169" data-end="5172">• Reduced support backlog or resolution time<br data-start="5216" data-end="5219">• Built internal tools used by Operations teams</p>
<p><strong>Inclusion and Diversity:</strong> Togetherwork is an Equal Employment Opportunity Employer. We are a company where diverse backgrounds, experiences and viewpoints are valued. Togetherwork does not make hiring or employment decisions on the basis of race, color, religion, gender, gender identity, sex, sexual orientation, disability, veteran status, age, ethnic or national origin, or any other basis protected by all local, state or federal laws.</p>
<p>Togetherwork provides integrated software and financial solutions to a wide range of communities and organizations including associations, camps, unions, fraternities & sororities, gyms, dance studios, religious congregations, pet services, and more.</p>
<p>Our mission-critical tools help our customers manage and grow their communities, and enhance the depth and breadth of their member engagement. Our team is united in its desire to help our clients better serve and empower their communities.</p>
<p><strong>Interview Process & Expectations</strong><br>Our interviews are designed to be interactive and conversational. Candidates are expected to respond based on their own experience and thinking during live interviews.</p>
<p>To ensure a fair and consistent interview experience, the use of real-time AI tools or other external assistance to generate or guide interview responses is not permitted. Interviews are intended to reflect an individual’s judgment, problem-solving approach, and communication.</p>
<p> </p>
<p> </p>
<p> </p><div class="content-conclusion"><p>CCPA Disclosure Notice: <a href="https://www.togetherwork.com/privacy-policy/">Click Here</a></p></div>
See all J-1 Visa QA Analyst Jobs
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship as a QA Analyst
Build a training plan before applying
Designated sponsors require a detailed training plan before issuing your DS-2019. Map out the QA methodologies, testing tools, and workflows you'll practice each month so your host employer can sign off on a credible, role-specific document.
Verify your program category fits your status
If you're a current student or recent graduate within 12 months of graduation, the Intern category applies. If you're a working professional with QA experience in your home country, you'll qualify under the Trainee category instead.
Search for host employers on Migrate Mate
Use Migrate Mate to find U.S. employers and QA Analyst roles that align with J-1 visa sponsorship. Filtering by role and location helps you identify host organizations before you approach a designated sponsor to issue your DS-2019.
Target employers with established J-1 host agreements
Some companies already have host organization agreements with designated sponsors like Cultural Vistas or AIPT. Asking a prospective employer whether they've hosted J-1 trainees before saves time and signals they understand the compliance requirements.
Confirm your role clears the two-year residency requirement
QA Analyst positions funded by U.S. government grants or tied to nationals from certain countries can trigger a two-year home residency requirement after your program ends. Clarify your eligibility for a waiver before accepting an offer.
Align your DS-2019 dates with your offer timeline
Your DS-2019 must be issued before you apply for your J-1 visa at a U.S. consulate. Coordinate with your designated sponsor early so the program start date on the form matches your employer's onboarding schedule.
QA Analyst J-1 Visa: Frequently Asked Questions
Which J-1 program category covers QA Analyst positions?
QA Analyst roles typically fall under the Trainee category for professionals with prior QA experience gained outside the United States, or the Intern category for students and recent graduates within 12 months of completing a degree in a related field such as computer science, information systems, or engineering. Your status at the time of application determines which category a designated sponsor will use to issue your DS-2019.
Who actually sponsors my J-1 visa as a QA Analyst?
Your J-1 visa sponsor is a U.S. Department of State-designated organization, not your employer. Designated sponsors such as Cultural Vistas, AIPT, or IIE issue your DS-2019, approve your training plan, and monitor your program for compliance. Your U.S. host employer provides the work environment and signs the training plan, but they are the host, not the visa sponsor.
How do I find U.S. employers open to hosting a J-1 QA Analyst?
Migrate Mate lets you search for QA Analyst roles and U.S. employers that align with J-1 sponsorship. Because the J-1 does not require employers to file a petition with USCIS the way H-1B visa does, your outreach should focus on whether the company is willing to sign a training plan and work with a designated sponsor, not on whether they have prior USCIS filing history.
What should my J-1 training plan include for a QA Analyst role?
Your training plan needs to outline the specific QA skills you'll develop, broken down by phase and month. Include the testing methodologies you'll practice, tools like test management or bug-tracking software, and the types of software products you'll work on. A vague plan risks rejection by the designated sponsor, so tie each phase to concrete, measurable learning objectives relevant to quality assurance.
Does the two-year home residency requirement apply to J-1 QA Analysts?
It can, depending on your country of nationality and how your program is funded. If your home country appears on the Exchange Visitor Skills List maintained by the State Department, or if your J-1 program is funded by a U.S. government agency or your home government, the two-year requirement applies. A waiver is possible but requires a separate application process, so confirm your situation with your designated sponsor before signing an offer.